Data Analyst

Role Overview

This position focuses on gathering, interpreting, and presenting data to facilitate decision-making and provide valuable insights for the organization. Utilizing statistical and analytical approaches, the role involves exploring data to uncover trends, patterns, and irregularities, offering actionable intelligence that supports data-driven decisions and process enhancement towards strategic goals. The incumbent delivers strategic advice to senior leadership based on data-derived evidence.

Key Responsibilities

• Collaborate within a group of data science engineers to investigate, design, develop, and execute data science projects that yield new insights, products, technology solutions, and intellectual property.
• Carry out data collection, analysis, and visualization activities according to project plans.
• Work alongside internal and external stakeholders to conduct experiments and validations aligned with strategic goals.
• Gather, record, and analyze datasets using established protocols, communicating findings for peer review and refinement.
• Contribute to drafting literature, presentations for peer-reviewed publications, industry events, and conferences, including patent application support.
• Apply scientific methodologies, tools, and analysis software to collect and validate research data.
• Create algorithms, mathematical models, conduct experiments, and aid in developing data-driven applications to convert data into actionable intelligence.
• Engage in designing and optimizing the data quality governance framework encompassing processes, standards, and rules.
• Employ advanced analytical techniques to extract, cleanse, and examine complex datasets from multiple sources.
• Operate independently on moderate-complexity issues, employing professional judgment within company policies to resolve challenges.

Education and Experience

• A four-year degree or graduate qualification in Mathematics, Statistics, Economics, Computer Science, or related discipline, or equivalent professional experience or demonstrated skills.
• Typically 2 to 4 years of relevant experience in data analytics, statistical analysis, or related fields, or an advanced degree with minimal work exposure.

Preferred Certifications

• Certifications in programming languages such as SQL, Python, or equivalent.

Expertise and Skills

• Familiarity with Agile methodologies
• Business Intelligence capabilities
• Strong computer science fundamentals
• Dashboard design and implementation
• Data analysis and data management proficiency
• Data modeling and quality control
• Data science methodologies and visualization tools
• Data warehousing and ETL processes
• Machine learning techniques
• Experience with Power BI, Python, R programming, SAS software, SQL, and Tableau
• Statistical analysis skills

Cross-Organizational Skills

• Effective communication
• Results-driven mindset
• Capacity for rapid learning
• Digital literacy
• Customer focus

Impact and Complexity

This role influences the immediate team through analytical contributions and provides limited input on project direction. Problem-solving involves addressing routine issues within defined standards and practices.

Additional Information

The job description outlines typical duties and may evolve with organizational needs. HP, Inc. is an Equal Employment Opportunity employer committed to non-discriminatory hiring and workplace practices based on a broad range of protected characteristics. Disclosure of personal information requested during hiring is voluntary and confidential.

Work Details

• Industry: Data & Information Technology
• Employment: Full-time
• Location: Bengaluru, Karnataka, India (Onsite)
• No shift premiums (India)
• No travel or relocation required